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Complexity in Mobile App Development

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Complexity in Mobile App Development

Mobile is expected to have 7 billion users by 2021, making it the most powerful digital touchpoint for consumer interaction. 

By 2022, annual mobile app downloads are expected to hit 258 billion, up 45 per cent from 2017. However, mere downloads do not imply mobile success; retention and interaction are crucial. Although several variables affect these metrics, one of the most important is application efficiency. Crashes in applications can increase turnover and damage a company's credibility. In reality, app crashes account for more than 70% of all uninstalls. Uptime and consistency can also affect download metrics, as Google ranking algorithms now downrank apps with reliability issues. Businesses must produce high-performing mobile applications and developers that fund such apps to detect and correct errors quickly. 

However, given the ever-increasing complexities of the app ecosystem, this could be easier said than done. The lack of visibility and control over mobile devices also limits developers. They have no way of knowing what each device's characteristics are or predicting which other apps and machine processes are vying for computing resources. Segmentation faults and bus errors are common among mobile app developers. 

Programming for such a wide range of devices presents its collection of difficulties. Native code flaws, third-party dependencies, and, in rare cases, even system libraries flaws will bring the entire application down.

Monitoring App Performance

While companies who use defective code must live with the consequences, those that use modern application performance management (APM) can ship better code faster and with less risk. Legacy monitoring tools focus on device activity, providing performance metrics on availability, throughput, and latency. Still, they fall short when it comes to actionable knowledge that lets mobile developers make sense of uncertainty and quickly identify the source of errors. It's important to have meaning beyond a crash on phones, as it is for all native applications. Developers require extensive information about the error, such as the types of phones affected, the number of users affected, the actual behaviour taken by a user when the error occurred, and the user's phone's storage space and battery life the time the app crashed. Because of the wide range of devices and native libraries used in programming, these specifics are precious for mobile developers. They can triage and prioritise issues more quickly now that they have this knowledge. 

When developers can pinpoint the exact release and commit where the mistake occurred, they can efficiently resolve the problem and reduce the scope of the problem. This feedback can also be incorporated into the development cycle by developers. Meaningful patterns will emerge from recording every single exception and crash that users experience, allowing them to prioritise problems and prevent repetition in future software releases. It's also worth noting that modern applications aren't self-contained; they have several runtimes spread around the stack, making monitoring more difficult. 

To Conclude

When combined with similar support for the web, Mobile support provides developers with an entire image critical in today's app-centric world. Since the rate of innovation in the mobile space shows no signs of slowing, developers must take proactive measures to fix the issues that hinder mobile app growth and ruin the user experience. 

Developers can code better and faster by taking a modern approach to APM, adding rich context and actionable insights, and syncing this knowledge across all of their apps, ensuring their companies stay relevant and competitive in the mobile world.

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